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Investigation of a new approach for truth tagging within the $t$$\bar{t}$H($bb$) analysis via a graph neural
In this thesis, a new approach for truth tagging within the $t$$\bar{t}$H($bb$) analysis via a graph neural network is analysed. It is analysed how the neural network performs in comparison to the established efficiency map and the direct tag for various jet regions, working points and number of t...
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Lenguaje: | eng |
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2022
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Acceso en línea: | http://cds.cern.ch/record/2843780 |